Accelerated Development and Management

Looking up a hash table library for caching in the 3scale Istio adapter

Looking up a hash table library for caching in the 3scale Istio adapter

You have probably already heard about the service mesh concept and one of its leading implementations, Istio. In the 3scale engineering team at Red Hat, we are working on a component to extend the functionality of Istio (and Red Hat’s distribution, Maistra) by integrating some API Management features via the 3scale platform. In this article, I’ll describe this work and some of the decisions made along the way.

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Modern business logic tooling workshop, lab 3: Create a domain model

Modern business logic tooling workshop, lab 3: Create a domain model

Since starting to update my free online rules and process automation workshops that showcase how to get started using modern business logic tooling, we’ve come a long way with process automation. The updates started with moving from JBoss BPM to Red Hat Decision Manager and from JBoss BPM Suite to Red Hat Process Automation Manager.

The first lab update showed how to install Red Hat Decision Manager on your laptop, and the second lab showed how to create a new project.  This article highlights the newest lab update for Red Hat Process Automation Manager, where you’ll learn how to create a domain model.

Let’s take a look at the lab, shall we?

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Modern business logic tooling workshop, lab 2: Create a new project

Modern business logic tooling workshop, lab 2: Create a new project

This article series shows how to get started using modern business logic tooling. These updates start with moving from JBoss BPM to Red Hat Decision Manager and from JBoss BPM Suite to Red Hat Process Automation Manager.

The first lab update showed how to install Red Hat Decision Manager on your laptop. This article highlights the second lab update for Red Hat Process Automation Manager, which shows how to create a new project.

Let’s take a look at the lab, shall we?

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Five layers of security for Red Hat Data Grid on OpenShift

Five layers of security for Red Hat Data Grid on OpenShift

Red Hat Data Grid is an in-memory, distributed, NoSQL datastore solution. With it, your applications can access, process, and analyze data at in-memory speed to deliver a superior user experience. In-memory Data Grid has a variety of use cases in today’s environment, such as fast data access for low-latency apps, storing objects (NoSQL) in a datastore, achieving linear scalability with data distribution/partitioning, and data high-availability across geographies, among many others. With containers getting more attention, the need to have Data Grid running on a container platform like OpenShift is clear, and we are seeing more and more customers aligning their architecture with a datastore running natively on a container platform.

In this article, I will talk about multiple layers of security available while deploying Data Grid on OpenShift. The layers of security offer a combination of security measures provided by Data Grid as well as by OpenShift/Kubernetes.

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Distributed microservices architecture: Istio, managed API gateways and, enterprise integration

Distributed microservices architecture: Istio, managed API gateways and, enterprise integration

The rise of microservices architectures drastically changed the software development landscape. In the past few years, we have seen a shift from centralized monoliths to distributed computing that benefits from cloud infrastructure. With distributed deployments, the adoption of microservices, and system scaling to cloud levels, new problems emerged, as well as new components that tried to solve the problems.

By now, you most likely have heard that the service mesh or Istio is here to save the day. However, you might be wondering how it fits with your current enterprise integration investments and API management initiatives. That is what I discuss in this article.

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Full API lifecycle management: A primer

Full API lifecycle management: A primer

APIs are the cornerstone of so many recent breakthroughs: from mobile applications, to the Internet of Things, to cloud computing. All those technologies expose, consume, and are built on APIs. And those APIs are a key driver for generating new revenue. Salesforce generates 50% of its revenue through APIs, Expedia generates 90% of its, and eBay generates 60% of its. With APIs becoming so central, it becomes essential to deal with full API lifecycle management. The success of your digital transformation project depends on it!

This article describes a set of full API lifecycle management activities that can guide you from an idea to the realization, from the inception of an API program up to management at scale throughout your whole company.

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Good news: Business automation is not about SOA

Good news: Business automation is not about SOA

This is not an article about service-oriented architecture (SOA); neither is it a business process management (BPM) article. This article is about how business automation can change the way you create software.

At a first, developers and architects tend to associate the use of BPM suites (or business-oriented architecture) with SOA. This behavior immediately leads to an incorrect bias about the subject.

C-suite executives understand: Transform—or be suppressed by new, disruptive, technology-driven startups. In 2019, business automation is a key transformation that executives will seek in order to improve business performance and lower costs. However, some technology teams are not very open to it. Why?

In the past, BPM suites have been used as big centralized orchestrators for services, external systems, and human tasks. JBoss SOA Platform, released in 2008, is an example of such an integration platform. Unfortunately, this kind of application does not fit new cloud- and microservices-oriented architectures. The good news is that business automation evolved and can help teams to reach the next step in DevOps: BizDevOps.

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Transitioning Red Hat SSO to a highly-available hybrid cloud deployment

Transitioning Red Hat SSO to a highly-available hybrid cloud deployment

About two years ago, Red Hat IT finished migrating our customer-facing authentication system to Red Hat Single Sign-On (Red Hat SSO). As a result, we were quite pleased with the performance and flexibility of the new platform. Due to some architectural decisions that were made in order to optimize for uptime using the technologies at our disposal, we were unable to take full advantage of Red Hat SSO’s robust feature set until now. This article describes how we’re now addressing database and session replication between global sites.

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Effortless API creation with full API lifecycle using Red Hat Integration (Part 1)

Effortless API creation with full API lifecycle using Red Hat Integration (Part 1)

Nowadays, API development with proper lifecycle management often takes days if not weeks to get a simple API service up and running. One of the main reasons behind this is there are always way too many parties involved in the process. Plus there are hours of development and configuration.

First, the system analysts negotiate the API interface with the API consumer; then the developer writes the actual API to implement the interface. They then pass the API on to the DevOps team that is in charge of deploying the API. And it is not done yet; then the deployment info needs to be passed to the operations team that is in charge of setting up the API endpoints in the management system and also applying the access policies.

The speed of providing managed API services can be one of the major factors in the success of a company’s business.

This article, which is the first in a series of three articles, describes how the new Red Hat Integration bundle allows citizen integrators to quickly provide an API through tools that make creating an API in five simple steps effortless.

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Streamline your JBoss EAP dev environment with Red Hat CodeReady Workspaces: Part 2

Streamline your JBoss EAP dev environment with Red Hat CodeReady Workspaces: Part 2

This is the second half of my series covering how to use Red Hat CodeReady Workspaces to develop a Java Enterprise Edition (now Jakarta EE) application using Red Hat JBoss Enterprise Application Platform (JBoss EAP) in the cloud on Red Hat OpenShift/Kubernetes. In the first part, we saw how to:

  • Bring your own tools by extending Red Hat’s provided stacks
  • Register your own stack within Red Hat CodeReady Workspaces
  • Create your workspace using your stack and embedding your JEE project located on a Git repository

For this second part, we’ll start configuring the workspace by adding some helpful settings and commands for building and running a JBoss EAP project. We’ll then see how to use the local JBoss EAP instance for deploying and debugging our application. Finally, we’ll create a factory so that we’ll be able to share our work and propose an on-demand configured development environment for anyone that needs to collaborate on our project.

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